screening: Screening of backbround or confounding components

In ac-hauschild/LoBrA: Modeling longitudinal Breath Data (LOngitudinal BReath Analysis)

Description

Background noise signals originating from experimental settings or random events can hugely influence the signal pattern of the breath. Background data enables the detailed evaluation and differentiation of the compounds originating primarily from the background or confounding factors as compared to those from the sample itself. The method assumes that all compounds of interest show a larger variation in the sample as compared to the background noise.

Usage

screening(ldo, method = c("bf", "levene", "bartlett"), alpha = 0.05,
  criteria = c(1, 1))

Arguments

ldo	Longitudinal Data Object
method	list of tests to perform, standard values: "bf", "levene" or "bartlett"). bf relates to Brown-Forsythe Levene-type procedure, levene uses classical Levene's procedure and bartlett applies Bartlett's test.
alpha	A numeric value to defining the cutoff to select peaks.
criteria	indicators which criterias to use for screening decision.

Value

square of the in put

LDO data object

Examples

## Not run: 
 

data(ldoExample)
method= c("bf", "levene", "bartlett")
alpha =0.05
criteria=c(1,1)
ldos<-screening(ldo, method, alpha, criteria)
#save(ldos,file="data/ldosExample.RData")

ac-hauschild/LoBrA documentation built on May 26, 2019, 3:35 p.m.